Development of an automated manufacturing process for large-scale production of autologous T cell therapies.

Engineered T cell therapies have shown significant clinical success. However, current manufacturing capabilities present a challenge in bringing these therapies to patients. Furthermore, the cost of development and manufacturing is still extremely high due to complexity of the manufacturing process. Increased automation can improve quality and reproducibility while reducing costs through minimizing hands-on operator time, allowing parallel manufacture of multiple products, and reducing the complexity of technology transfer. In this article, we describe the results of a strategic alliance between GSK and Miltenyi Biotec to develop a closed, automated manufacturing process using the CliniMACS Prodigy for autologous T cell therapy products that can deliver a high number of cells suitable for treating solid tumor indications and compatible with cryopreserved apheresis and drug product. We demonstrate the ability of the T cell Transduction - Large Scale process to deliver a significantly higher cell number than the existing process, achieving 1.5 × 1010 cells after 12 days of expansion, without affecting other product attributes. We demonstrate successful technology transfer of this robust process into three manufacturing facilities.

Evaluation of quantitative miRNA expression platforms in the microRNA quality control (miRQC) study.

MicroRNAs are important negative regulators of protein-coding gene expression and have been studied intensively over the past years. Several measurement platforms have been developed to determine relative miRNA abundance in biological samples using different technologies such as small RNA sequencing, reverse transcription-quantitative PCR (RT-qPCR) and (microarray) hybridization. In this study, we systematically compared 12 commercially available platforms for analysis of microRNA expression. We measured an identical set of 20 standardized positive and negative control samples, including human universal reference RNA, human brain RNA and titrations thereof, human serum samples and synthetic spikes from microRNA family members with varying homology. We developed robust quality metrics to objectively assess platform performance in terms of reproducibility, sensitivity, accuracy, specificity and concordance of differential expression. The results indicate that each method has its strengths and weaknesses, which help to guide informed selection of a quantitative microRNA gene expression platform for particular study goals.